Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model
Abstract Human drivers conduct compensatory behaviour to counteract the increased risk while being distracted. This kind of compensation strategy should be learned for a safer and smart design of adaptive cruise control system (ACC). Hence, a simulator study was conducted, requiring performance visu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | IET Intelligent Transport Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/itr2.12092 |
| _version_ | 1828237037118947328 |
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| author | Penghui Li Mengxia Hu Feng Chen Chengliang Xu Chunjiao Dong Yibing Li |
| author_facet | Penghui Li Mengxia Hu Feng Chen Chengliang Xu Chunjiao Dong Yibing Li |
| author_sort | Penghui Li |
| collection | DOAJ |
| description | Abstract Human drivers conduct compensatory behaviour to counteract the increased risk while being distracted. This kind of compensation strategy should be learned for a safer and smart design of adaptive cruise control system (ACC). Hence, a simulator study was conducted, requiring performance visual, cognitive, and combined secondary tasks during a car following scenario. An increased time headway (THW) was found in all of the three distraction conditions, which confirmed that drivers compensated an extra THW to counteract the increased crash risk. Furthermore, crash probability models using binary logistic regression with random intercept were constructed where driver distraction and dynamic traffic situations were embodied as inputs. Results showed that crash risk increased with reduced THW, increased lead vehicle deceleration, and unopened brake light of the lead vehicle. Besides, visual‐related distractions increased crash risk, while pure cognitive distraction lowered crash risk in low THW (lower than 1.8 s) condition and increased crash risk in high THW (larger than 1.8 s) condition. Based on the authors' proposed models, theoretical compensation in THW to fully counteract the increased crash risk by distraction was derived, which could be used for the design of a human‐like ACC with automatic adjustment of THW setting considering driver distraction. |
| first_indexed | 2024-04-12T20:42:48Z |
| format | Article |
| id | doaj.art-9e87dc851104476ba562f27f9c638875 |
| institution | Directory Open Access Journal |
| issn | 1751-956X 1751-9578 |
| language | English |
| last_indexed | 2024-04-12T20:42:48Z |
| publishDate | 2021-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Intelligent Transport Systems |
| spelling | doaj.art-9e87dc851104476ba562f27f9c6388752022-12-22T03:17:21ZengWileyIET Intelligent Transport Systems1751-956X1751-95782021-10-0115101241125510.1049/itr2.12092Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk modelPenghui Li0Mengxia Hu1Feng Chen2Chengliang Xu3Chunjiao Dong4Yibing Li5State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility Tsinghua University Beijing ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility Tsinghua University Beijing ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education Tongji University Shanghai ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility Tsinghua University Beijing ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong University Beijing ChinaState Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility Tsinghua University Beijing ChinaAbstract Human drivers conduct compensatory behaviour to counteract the increased risk while being distracted. This kind of compensation strategy should be learned for a safer and smart design of adaptive cruise control system (ACC). Hence, a simulator study was conducted, requiring performance visual, cognitive, and combined secondary tasks during a car following scenario. An increased time headway (THW) was found in all of the three distraction conditions, which confirmed that drivers compensated an extra THW to counteract the increased crash risk. Furthermore, crash probability models using binary logistic regression with random intercept were constructed where driver distraction and dynamic traffic situations were embodied as inputs. Results showed that crash risk increased with reduced THW, increased lead vehicle deceleration, and unopened brake light of the lead vehicle. Besides, visual‐related distractions increased crash risk, while pure cognitive distraction lowered crash risk in low THW (lower than 1.8 s) condition and increased crash risk in high THW (larger than 1.8 s) condition. Based on the authors' proposed models, theoretical compensation in THW to fully counteract the increased crash risk by distraction was derived, which could be used for the design of a human‐like ACC with automatic adjustment of THW setting considering driver distraction.https://doi.org/10.1049/itr2.12092Velocity, acceleration and rotation controlRoad‐traffic system controlRegression analysisSelf‐adjusting control systems |
| spellingShingle | Penghui Li Mengxia Hu Feng Chen Chengliang Xu Chunjiao Dong Yibing Li Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model IET Intelligent Transport Systems Velocity, acceleration and rotation control Road‐traffic system control Regression analysis Self‐adjusting control systems |
| title | Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model |
| title_full | Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model |
| title_fullStr | Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model |
| title_full_unstemmed | Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model |
| title_short | Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model |
| title_sort | improve adaptive cruise control under driver distraction time headway compensation based on a random effect crash risk model |
| topic | Velocity, acceleration and rotation control Road‐traffic system control Regression analysis Self‐adjusting control systems |
| url | https://doi.org/10.1049/itr2.12092 |
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